Wearable pet respiration health detection system and method based on fiber bragg grating and computer equipment

Abstract

The invention discloses a wearable pet respiration health detection system and method based on a fiber bragg grating and computer equipment, and belongs to the technical field of pet health monitoring, and the system comprises a respiration sensing acquisition module and a respiration signal analysis module; the respiration sensing acquisition module comprises an FBG respiration sensor and an optical fiber demodulator; the respiratory signal analysis module comprises a computer, and respiratory health parameters are extracted through algorithm processing and displayed in real time; the FBG respiration sensor is an integrated flexible sensor and comprises a PDMS flexible substrate, a bionic microstructure and an embedded packaged FBG array, and the FBG array is embedded into the PDMS flexible substrate in a predefined topological layout. According to the invention, through the flexible FBG sensor and the wearable carrier, non-sensitive wearing of a pet is realized; according to the detection method, a dynamic noise reduction algorithm and multi-parameter extraction are combined, multi-dimensional breathing health parameters are accurately obtained, and high-precision breathing monitoring is achieved.

Description

Technical Field

[0001] This invention belongs to the field of pet health monitoring technology, specifically a wearable pet respiratory health monitoring system, method, and computer device based on fiber Bragg gratings. Background Technology

[0002] With the increasing demand for pet health monitoring, respiratory health has become a key indicator for assessing a pet's physiological state. Traditional monitoring methods have limitations: non-contact monitoring (such as acoustic sensing) is easily affected by environmental noise, leading to a high false alarm rate; invasive monitoring (such as nasal cannulas) triggers stress responses in pets, making it unsuitable for home settings; existing wearable devices (such as collars and harnesses) are based on piezoelectric ceramics or resistance strain gauges, whose rigid substrates are mismatched with the dynamic deformation of the pet's skin, introducing motion artifacts, and offering poor comfort and signal stability over long periods. Furthermore, existing solutions are mostly limited to single-dimensional statistics of respiratory rate, lacking the ability to analyze multiple parameters such as tidal volume, respiratory rhythm variability coefficient, and abnormal breathing patterns, making it difficult to achieve early health warnings.

[0003] Fiber Bragg grating (FBG) sensors are maturely used in structural health monitoring due to their high sensitivity, resistance to electromagnetic interference, and multiplexing capabilities. However, their application in dynamic respiratory monitoring of pets faces technical bottlenecks: existing FBG sensor packaging is rigid and difficult to adapt to the complex curved surfaces of a pet's chest and abdomen; there is a lack of sensor topology optimization for pets of various genera, species, and body types; motion noise and respiratory signals are complexly coupled in dynamic environments, and traditional filtering algorithms have low separation accuracy; and a systematic solution integrating flexible sensing, dynamic noise reduction, multi-parameter analysis, and comfortable wearability has yet to be seen. Summary of the Invention

[0004] Technical problem solved: In view of the shortcomings of the existing technology, the present invention provides a wearable pet respiratory health monitoring system, method and computer device based on fiber Bragg grating, which realizes high-precision multi-dimensional respiratory health monitoring of pets in a natural activity state without stress.

[0005] Technical solution: The wearable pet respiratory health monitoring system based on fiber Bragg grating described in this invention includes a respiratory sensing acquisition module and a respiratory signal analysis module; The respiratory sensing acquisition module includes an FBG respiratory sensor and an optical fiber demodulator, which are used to detect and acquire the respiratory strain signals of the pet. The respiratory signal analysis module includes a computer, which is used to receive signals transmitted by the fiber optic demodulator, process them through algorithms to extract respiratory health parameters, and display them in real time. The FBG breathing sensor is an integrated flexible sensor, comprising a PDMS flexible substrate, a biomimetic microstructure, and an embedded FBG array. The FBG array is embedded in the PDMS flexible substrate in a predefined topology layout.

[0006] Preferably, the biomimetic microstructure is a wave-shaped microgroove disposed on the upper surface of the PDMS flexible substrate, wherein the microgroove has a depth of 0.3 mm and a spacing of 2 mm.

[0007] Preferably, the FBG array consists of an optical fiber cladding, an optical fiber core, and grating regions; the formula for calculating the number of FBG grating regions is: ; Where, λ max ε represents the maximum wavelength measurement range of a single channel; ε represents the maximum strain range measured by a single grating point; K e λ is the sensitivity coefficient. n This represents the wavelength offset per level. The number of FBG gate regions is 3, and the FBG gate regions are arranged in a “V” symmetrical topology.

[0008] Preferably, the device also includes a wearable clothing carrier, which is a vest-style harness, and the FBG breathing sensor is fixed to the area corresponding to the xiphoid process region of the pet's chest and abdomen and the 5th-9th intercostal spaces.

[0009] This invention also discloses a method for preparing a wearable pet respiratory health monitoring system, comprising the following steps: Step 1: Design and fabrication of flexible fiber optic sensing module; Step 2: Design and integration of wearable clothing carriers; Step 3: Set up a pet respiratory health monitoring system; Step 4: Collect data using a respiratory detection system; Step 5: Data processing and feature extraction of respiratory signals.

[0010] Preferably, the step of determining the size of the PDMS flexible substrate in step 1 is as follows: Step 11: Based on the 3D scan model of the pet's chest and abdomen and finite element strain simulation, determine the contour dimensions of the PDMS flexible substrate coverage area; Step 12: Determine the thickness and width of the PDMS flexible substrate. Based on the pet's body surface curvature and wearing comfort requirements, the thickness of the PDMS flexible substrate should be in the range of 1.0-2.5mm, and its width should be greater than the sum of the length of the sensor grid area and the packaging allowance. The elastic modulus of the PDMS flexible substrate should be 0.8MPa. Step 13: Based on the external dimensions of the packaged FBG array, open sensing vias inside the PDMS flexible substrate to embed the FBG array. Determine the positioning dimensions and topology layout of the vias based on finite element simulation. Step 14: Optimize the dimensions of the biomimetic microstructure based on the cross-sectional dimensions of the PDMS flexible substrate; Step 15: Determine the number and length of the grid area of ​​the FBG breathing sensor; The PDMS flexible substrate is prepared using a compression molding process, specifically through the following steps: Step S11: Establish a model based on the parameters of the FBG breathing sensor and prepare the mold; Step S12: Mix PDMS prepolymer and curing agent, and perform degassing treatment; Step S13: Inject the mixture into the mold and pre-position the FBG array in the set position; Step S14: Heat curing; Step S15: Demold and complete the fabrication of the FBG breathing sensor.

[0011] Preferably, the specific construction steps in step 3 are as follows: Step 31: Integrate the FBG breathing sensor into the predetermined position on the vest-style chest strap; Step 32: Prepare fiber optic patch cords. The length of the fiber optic patch cords should be determined based on the pet's activity range. Step 33: Connect one end of the FBG breathing sensor to the fiber optic flange and fiber optic patch cord, and then connect the fiber optic patch cord to the fiber optic demodulator using the fiber optic flange.

[0012] Preferably, the specific data acquisition steps in step 4 are as follows: Step 41: To ensure the pet's comfort, the FBG breathing sensor is fitted to the monitoring area; Step 42: Connect the FBG breathing sensor through the fiber optic flange and the fiber optic demodulator channel, and clean the connection point; Step 43: Record the initial center wavelength values ​​of each monitoring point of the FBG breathing sensor; Step 44: When the pet is active and breathing, the computer collects the center wavelength data generated on the surface of the chest and abdomen through a fiber optic demodulator.

[0013] Preferably, the specific steps of data processing in step 5 are as follows: Step 51: For the acquired center wavelength data, noise filtering is performed on the acquired signal using a combination of adaptive Kalman filtering and wavelet threshold denoising. Step 52: Eliminate temperature-induced wavelength drift using the reference grating differential method; Step 53: Perform a short-time Fourier transform on the processed signal to extract the respiratory rate; Step 54: Perform Hilbert transform on the signal to calculate the coefficient of variation of respiratory rhythm; Step 55: Use the Dynamic Time Warping (DTW) algorithm to identify abnormal breathing patterns.

[0014] The present invention also discloses a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The memory is a non-volatile storage device integrated into the terminal, and may be a solid-state drive (SSD), random access memory (RAM), or read-only memory (ROM). The physical form of the storage medium of the memory may include magnetic storage medium, semiconductor storage medium, optical storage medium, or any combination thereof, and its data read and write behavior conforms to ISO / IEC 7816, SATA, NVMe, SCSI, or general file system protocol standards. The processor includes a general-purpose central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), or a heterogeneous computing combination thereof; when the processor executes the above-described computer program, it implements the data processing steps of the FBG respiratory sensor as described in claim 9.

[0015] Compared with the prior art, the present invention achieves the following technical effects: 1. This invention achieves seamless wearing for pets through flexible FBG sensor design and wearable carrier, improving pet comfort and signal quality; 2. The detection method of the present invention combines dynamic noise reduction algorithm and multi-parameter extraction, including respiratory rate, rhythm variation coefficient and abnormal pattern recognition, to accurately obtain multi-dimensional respiratory health parameters, achieve high-precision respiratory monitoring, and significantly improve the comfort of pets wearing the monitoring system and the reliability of the monitoring system. 3. This invention is applicable to home and clinical settings, providing an innovative solution for pet respiratory health management. Attached Figure Description

[0016] Figure 1 This is a flowchart of the method of the present invention; Figure 2 This is a schematic diagram of the system architecture of the present invention; Figure 3 for Figure 2 Schematic diagram of the installation structure of the vest-style chest strap and FBG breathing sensor; Figure 4 for Figure 3 Schematic diagram of the assembly structure of the FBG breathing sensor ((a) front view; (b) left view; (c) perspective view; (d) cross-sectional view along the thickness direction); Structural diagram; Figure 5This is a block diagram of the system structure of the present invention.

[0017] Figure labels: 1. Vest-style chest strap; 2. FBG breathing sensor; 21. PDMS flexible substrate; 22. Bionic microstructure; 23. FBG array; 3. Fiber optic patch cord; 4. Fiber optic demodulator; 5. Computer; 6. Pet dog. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will be described in conjunction with the accompanying drawings. Figures 1-5 The technical solutions of the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention. Unless otherwise defined, the technical or scientific terms used herein should have the ordinary meaning understood by those skilled in the art.

[0019] Example 1: As Figures 2-5 As shown, this invention discloses a wearable pet respiratory health monitoring system based on fiber Bragg gratings, including a respiratory sensing acquisition module and a respiratory signal analysis module. The respiratory sensing acquisition module includes an FBG respiratory sensor 2 and a fiber optic demodulator 4. The FBG respiratory sensor 2 is connected to the fiber optic demodulator 4 via a fiber optic flange and a channel, and is used to detect and acquire the pet's respiratory strain signal. The respiratory signal analysis module includes a computer 5. The fiber optic demodulator 4 is connected to the computer 5 via a fiber optic flange and a fiber optic patch cord 3, and is used to receive the signal transmitted by the fiber optic demodulator 4. The computer 5 processes and extracts respiratory health parameters by executing algorithms and displays them in real time.

[0020] like Figure 4 As shown, the FBG breathing sensor 2 is an integrated flexible sensor, comprising a PDMS flexible substrate 21, a biomimetic microstructure 22, and an embedded FBG array 23. The FBG array 23 is embedded within the PDMS flexible substrate 21 in a predefined topology layout. The biomimetic microstructure 22 consists of wavy microgrooves on the upper surface of the PDMS flexible substrate 21, with a depth of 0.3 mm and a spacing of 2 mm. The FBG array 23 consists of an optical fiber cladding, an optical fiber core, and grating regions; the formula for calculating the number of FBG grating regions is: ; Where, λ max ε represents the maximum wavelength measurement range of a single channel; ε represents the maximum strain range measured by a single grating point; K e λ is the sensitivity coefficient. nThis represents the wavelength offset per stage; in this embodiment, there are 3 FBG gate regions, and the FBG gate regions have a “V” shaped symmetrical topology.

[0021] like Figures 2-3 As shown, the system of this invention also includes a wearable clothing carrier, which is a vest-style chest harness 1. The FBG respiratory sensor 2 is fixed to the vest-style chest harness 1 and the area corresponding to the xiphoid process region of the pet's chest and abdomen and the 5th-9th intercostal spaces. This invention, through its flexible FBG sensor design and wearable carrier, achieves seamless wearing for pets, improving pet comfort and signal quality; it is suitable for home and clinical settings, providing an innovative solution for pet respiratory health management.

[0022] Example 2: As Figure 1 As shown, the present invention also discloses a method for preparing a wearable pet respiratory health detection system. This embodiment details the specific process of the preparation method.

[0023] I. Design and fabrication of flexible fiber optic sensing modules; 1. The steps for determining the dimensions of the PDMS flexible substrate 21 are as follows: (1) Based on the 3D scanning model of the pet's chest and abdomen (taking pet dog 6 as an example) and finite element strain simulation, determine the outline size of the PDMS flexible substrate coverage area and design the shape of the PDMS flexible substrate to fit the pet's sternal xiphoid process to the 5th-9th intercostal space.

[0024] (2) Determine the thickness and width of the PDMS flexible substrate. According to the curvature of the pet's body surface and the requirements for wearing comfort, the thickness of the PDMS flexible substrate is 1.0-2.5mm, and its width should be greater than the sum of the length of the sensor grid area and the packaging allowance. The elastic modulus of the PDMS flexible substrate 21 is 0.8MPa.

[0025] (3) Three sensing vias were made inside the PDMS flexible substrate according to the external dimensions of the encapsulated FBG array to embed the FBG array in a “V” symmetrical topology. The location and topology of the vias were determined mainly based on finite element strain simulation and biomechanical analysis: simulation parameters were set according to the 3D model of the pet's chest and abdomen and the material properties of PDMS; the model was meshed; the strain distribution of the chest and abdomen during breathing was simulated to generate a strain cloud map; by analyzing the strain distribution, the optimal layout of the FBG array was determined to be a “V” symmetrical structure to cover the main breathing strain area; the strain transfer efficiency at different embedment depths was compared, and the depth with high strain transfer efficiency and uniform distribution was selected as the optimal embedment depth. Analysis shows that the FBG array is best when embedded in the middle of the PDMS flexible substrate and with a “V” symmetrical layout.

[0026] (4) The size of the biomimetic microstructure was optimized according to the cross-sectional size of the PDMS flexible substrate. The microgroove depth was set to 0.3 mm and the microgroove spacing was set to 2 mm. (5) Determine the number and length of the grating region of the FBG breathing sensor, and obtain the maximum wavelength measurement range λ of a single channel by referring to the technical specifications of the fiber optic demodulator. max =10nm; Working wavelength buffer λ for a single grating point n =0.5nm; the maximum strain range to be measured at each grating point during pet breathing is ε=500 με; strain sensitivity coefficient K e Determined by the sensor model, K e =1.2pm / με. Substituting this into the formula, the theoretical maximum allowable number of gratings is calculated as follows: Substituting the parameters, the theoretical maximum allowable number of gratings is 6.

[0027] To allow for a wavelength buffer margin, and considering the monitoring area size and cost, the number of FBG grating regions (n=3) was selected to reduce aliasing risk, lower costs, and improve system integration. The FBG respiratory sensor for monitoring pet respiration has three grating regions, each 10mm long, with center wavelengths of 1535nm, 1545nm, and 1555nm respectively.

[0028] 2. The PDMS flexible substrate 21 is prepared by compression molding process. The specific steps are as follows: establish a model according to the parameters of FBG breathing sensor 2 and prepare a mold; mix PDMS prepolymer and curing agent and perform degassing treatment; inject the mixture into the mold and pre-place the FBG array in the set position; heat and cure; demold to complete the preparation of FBG breathing sensor 2.

[0029] II. Design and Integration of Wearable Clothing Carriers: (1) Design a vest-style chest strap 1 structure, with the outer layer made of breathable and antibacterial silver fiber fabric, and the inner layer designed with adjustable Velcro and elastic webbing.

[0030] (2) Position the prepared flexible FBG sensor by suturing or embedding it into the predetermined position of the inner layer of the vest-style chest strap.

[0031] III. Establishing a pet respiratory health monitoring system: (1) Integrate the FBG breathing sensor 2 into the predetermined position of the vest-style chest harness 1, and wear the vest-style chest harness on the pet to ensure that the FBG breathing sensor fits the predetermined monitoring area.

[0032] (2) Prepare fiber optic patch cord 3 and install fiber optic flange. The length of fiber optic patch cord 3 is determined according to the pet's activity range, and an appropriate margin is left.

[0033] (3) Connect the FBG breathing sensor 2 to one end of the fiber optic flange and fiber optic patch cord, and then connect the fiber optic patch cord to the fiber optic demodulator 4 using the fiber optic flange. Then connect the fiber optic demodulator to the computer using the data interface to prepare for data acquisition.

[0034] (4) Monitor the center wavelength of the channel on the data acquisition software and store the data on the computer hard drive.

[0035] IV. Data collection using a respiratory detection system; (1) To ensure the pet's comfort, the FBG breathing sensor 2 fits snugly in the monitoring area and does not loosen.

[0036] (2) Connect the FBG breathing sensor 2 through the fiber optic flange and the fiber optic demodulator 4, and clean the connection to avoid dust causing increased loss.

[0037] (3) Open the data acquisition software to confirm that the signal connection is normal, and record the initial value of the center wavelength of each monitoring point of the FBG breathing sensor 2. (4) When the pet is active and breathing, for example, when the pet is allowed to perform different activities (still, walking, running), the computer collects the center wavelength data and triaxial accelerometer data generated on the surface of the chest and abdomen through the fiber optic demodulator 4. The collection time is set to at least 30 seconds for each activity.

[0038] V. Data Processing and Feature Extraction of Respiratory Signals: (1) Process the collected center wavelength data and acceleration data, and classify the pet's activity status (stationary, walking, running) according to the acceleration data; for the collected center wavelength data, perform noise filtering on the collected signal by combining adaptive Kalman filtering and wavelet threshold denoising.

[0039] (2) The wavelength drift caused by temperature is eliminated by the reference grating differential method to obtain a pure breathing strain signal.

[0040] (3) Perform a short-time Fourier transform on the processed pure respiratory signal to extract the respiratory rate. (4) Perform Hilbert transform on the signal, calculate the instantaneous amplitude and phase, and then obtain the respiratory rhythm variation coefficient RRV.

[0041] (5) Using the Dynamic Time Warping (DTW) algorithm, the current breathing waveform is matched with the pre-stored abnormal breathing pattern template library. If the matching degree is higher than the threshold, it is determined to be abnormal breathing and an early warning is triggered.

[0042] (6) Output respiratory rate, RRV and abnormal warning information.

[0043] Example 3: This invention also discloses a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The memory is a non-volatile storage device integrated into the terminal, selected from solid-state drives (SSDs), random access memory (RAM), or read-only memory (ROM). The physical form of the storage medium includes magnetic storage media, semiconductor storage media, optical storage media, or any combination thereof, and its data read / write behavior conforms to ISO / IEC 7816, SATA, NVMe, SCSI, or universal file system protocol standards. The computer-readable storage medium stores the computer program. When the program is executed by the processor, it can realize a pet respiratory health monitoring method based on a fiber Bragg grating (FBG) sensor, specifically including the implementation steps of the monitoring method described in Example 2. This technical solution effectively solves the problems of data storage reliability, storage carrier compatibility, and real-time data processing efficiency in pet respiratory health monitoring systems through innovative storage medium architecture design.

[0044] The hardware architecture of the computer device of the present invention includes a processor unit, a memory module, and a computer-executable program stored on the memory. The core arithmetic unit of the processor includes, but is not limited to: (1) General-purpose processors: Central Processing Unit (CPU), Microcontroller (MCU), Embedded Processor; (2) Dedicated processors: Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC); (3) Programmable logic devices: Field Programmable Gate Array (FPGA) and Complex Programmable Logic Device (CPLD). The memory includes a combined architecture of static memory and dynamic memory: (1) Non-volatile memory units: Read-only memory (ROM) and flash memory, used to store the basic instruction set; (2) Volatile storage units: Random access memory (RAM) and cache memory are used to dynamically load computation data.

[0045] The above are preferred embodiments of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A wearable pet respiratory health monitoring system based on fiber Bragg gratings, characterized in that, Includes a respiratory sensor acquisition module and a respiratory signal analysis module; The respiratory sensing acquisition module includes an FBG respiratory sensor (2) and an optical fiber demodulator (4) for detecting and acquiring the respiratory strain signal of the pet. The respiratory signal analysis module includes a computer (5) for receiving signals transmitted by the fiber optic demodulator (4), and extracting respiratory health parameters through algorithm processing and displaying them in real time; The FBG breathing sensor (2) is an integrated flexible sensor, including a PDMS flexible substrate (21), a biomimetic microstructure (22) and an embedded FBG array (23), wherein the FBG array (23) is embedded in the PDMS flexible substrate (21) in a predefined topology layout.

2. The wearable pet respiratory health monitoring system based on fiber Bragg grating according to claim 1, characterized in that, The biomimetic microstructure (22) is a wave-shaped microgroove disposed on the upper surface of the PDMS flexible substrate (21), the microgroove having a depth of 0.3 mm and a spacing of 2 mm.

3. The wearable pet respiratory health monitoring system based on fiber Bragg grating according to claim 2, characterized in that, The FBG array (23) consists of an optical fiber cladding, an optical fiber core, and grating regions; the formula for calculating the number of FBG grating regions is: ； Where, λ max ε represents the maximum wavelength measurement range of a single channel; ε represents the maximum strain range measured by a single grating point; K e λ is the sensitivity coefficient. n This represents the wavelength offset per level. The number of FBG gate regions is 3, and the FBG gate regions are arranged in a "V" shaped symmetrical topology.

4. The wearable pet respiratory health monitoring system based on fiber Bragg gratings according to any one of claims 1-3, characterized in that, It also includes a wearable clothing carrier, which is a vest-style chest harness (1), and the FBG breathing sensor (2) is fixed to the vest-style chest harness (1) and the area corresponding to the xiphoid process region of the pet's chest and abdomen and the 5th-9th intercostal spaces.

5. A method for preparing a wearable pet respiratory health monitoring system as described in claim 4, characterized in that, Includes the following steps: Step 1: Design and fabrication of flexible fiber optic sensing module; Step 2: Design and integration of wearable clothing carriers; Step 3: Set up a pet respiratory health monitoring system; Step 4: Collect data using a respiratory detection system; Step 5: Data processing and feature extraction of respiratory signals.

6. The method for preparing the wearable pet respiratory health monitoring system according to claim 5, characterized in that, The steps for determining the dimensions of the PDMS flexible substrate (21) in step 1 are as follows: Step 11: Based on the 3D scan model of the pet's chest and abdomen and finite element strain simulation, determine the contour dimensions of the PDMS flexible substrate coverage area; Step 12: Determine the thickness and width of the PDMS flexible substrate. According to the curvature of the pet's body surface and the requirements for wearing comfort, the thickness of the PDMS flexible substrate is 1.0-2.5mm, and its width should be greater than the sum of the length of the sensor grid area and the packaging allowance. The elastic modulus of the PDMS flexible substrate (21) is 0.8MPa. Step 13: Based on the external dimensions of the packaged FBG array, open sensing vias inside the PDMS flexible substrate to embed the FBG array. Determine the positioning dimensions and topology layout of the vias based on finite element simulation. Step 14: Optimize the dimensions of the biomimetic microstructure based on the cross-sectional dimensions of the PDMS flexible substrate; Step 15: Determine the number and length of the grid area of ​​the FBG breathing sensor; The PDMS flexible substrate (21) is prepared by compression molding process, and the specific steps are as follows: Step S11: Establish a model based on the parameters of the FBG breathing sensor (2) and prepare the mold; Step S12: Mix PDMS prepolymer and curing agent, and perform degassing treatment; Step S13: Inject the mixture into the mold and pre-position the FBG array in the set position; Step S14: Heat curing; Step S15: Demolding, completing the preparation of the FBG breathing sensor (2).

7. The method for preparing the wearable pet respiratory health monitoring system according to claim 5, characterized in that, The specific setup steps for step 3 are as follows: Step 31: Integrate the FBG breathing sensor (2) into the predetermined position of the vest-style chest strap (1); Step 32: Prepare fiber optic patch cord (3). The length of fiber optic patch cord (3) is determined according to the pet's activity range. Step 33: Connect the FBG breathing sensor (2) with one end of the fiber optic flange and fiber optic patch cord, and then connect the fiber optic patch cord to the fiber optic demodulator (4) with the fiber optic flange.

8. The method for preparing the wearable pet respiratory health monitoring system according to claim 5, characterized in that, The specific data collection steps in step 4 are as follows: Step 41: To ensure the pet's comfort, the FBG breathing sensor (2) is attached to the monitoring area; Step 42: Connect the FBG breathing sensor (2) through the fiber optic flange and the fiber optic demodulator (4) and clean the connection point; Step 43: Record the initial value of the center wavelength of each monitoring point of the FBG breathing sensor (2); Step 44: When the pet is active and breathing, the computer collects the center wavelength data generated on the surface of the chest and abdomen through the fiber optic demodulator (4).

9. The method for preparing the wearable pet respiratory health monitoring system according to claim 8, characterized in that, The specific steps of data processing in step 5 are as follows: Step 51: For the acquired center wavelength data, noise filtering is performed on the acquired signal using a combination of adaptive Kalman filtering and wavelet threshold denoising. Step 52: Eliminate temperature-induced wavelength drift using the reference grating differential method; Step 53: Perform a short-time Fourier transform on the processed signal to extract the respiratory rate; Step 54: Perform Hilbert transform on the signal to calculate the coefficient of variation of respiratory rhythm; Step 55: Use the Dynamic Time Warping (DTW) algorithm to identify abnormal breathing patterns.

10. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The memory is a non-volatile storage device integrated into the terminal, which may be a solid-state drive (SSD), random access memory (RAM), or read-only memory (ROM). The physical form of the storage medium of the memory includes magnetic storage medium, semiconductor storage medium, optical storage medium, or any combination thereof, and its data read and write behavior conforms to ISO / IEC7816, SATA, NVMe, SCSI, or general file system protocol standards. The processor includes a general-purpose central processing unit (CPU), a graphics processing unit (GPU), a digital signal processor (DSP), or a heterogeneous computing combination thereof; when the processor executes the above-described computer program, it implements the data processing steps of the FBG respiratory sensor as described in claim 9.

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